Establishing a Multimodal Personality for a Multimodal Application

ABSTRACT

Methods, apparatus, and computer program products are described for establishing a multimodal personality for a multimodal application that include selecting, by the multimodal application, matching vocal and visual demeanors and incorporating, by the multimodal application, the matching vocal and visual demeanors as a multimodal personality into the multimodal application.

BACKGROUND OF THE INVENTION

1. Field of the Invention

The field of the invention is data processing, or, more specifically,methods, apparatus, and products for establishing a multimodalpersonality for a multimodal application.

2. Description of Related Art

User interaction with applications running on small devices through akeyboard or stylus has become increasingly limited and cumbersome asthose devices have become increasingly smaller. In particular, smallhandheld devices like mobile phones and PDAs serve many functions andcontain sufficient processing power to support user interaction throughother modes, such as multimodal access. Devices which support multimodalaccess combine multiple user input modes or channels in the sameinteraction allowing a user to interact with the applications on thedevice simultaneously through multiple input modes or channels. Themethods of input include speech recognition, keyboard, touch screen,stylus, mouse, handwriting, and others. Multimodal input often makesusing a small device easier.

Multimodal applications often run on servers that serve up multimodalweb pages for display on a multimodal browser. A ‘multimodal browser,’as the term is used in this specification, generally means a web browsercapable of receiving multimodal input and interacting with users withmultimodal output. Multimodal browsers typically render web pageswritten in XHTML+Voice (‘X+V’). X+V provides a markup language thatenables users to interact with an multimodal application often runningon a server through spoken dialog in addition to traditional means ofinput such as keyboard strokes and mouse pointer action. Visual markuptells a multimodal browser what the user interface is to look like andhow the user interface is to behave when the user types, points, orclicks. Similarly, voice markup tells a multimodal browser what to dowhen the user speaks to it. For visual markup, the multimodal browseruses a graphics engine; for voice markup, the multimodal browser uses aspeech engine. X+V adds spoken interaction to standard web content byintegrating XHTML (eXtensible Hypertext Markup Language) and speechrecognition vocabularies supported by VoiceXML. For visual markup, X+Vincludes the XHTML standard. For voice markup, X+V includes a subset ofVoiceXML. For synchronizing the VoiceXML elements with correspondingvisual interface elements, X+V uses events. XHTML includes voice modulesthat support speech synthesis, speech dialogs, command and control, andspeech grammars. Voice handlers can be attached to XHTML elements andrespond to specific events. Voice interaction features are integratedwith XHTML and can consequently be used directly within XHTML content.

In addition to X+V, multimodal applications also may be implemented withSpeech Application Tags (‘SALT’). SALT is a markup language developed bythe Salt Forum. Both X+V and SALT are markup languages for creatingapplications that use voice input/speech recognition and voiceoutput/speech synthesis. Both SALT applications and X+V applications useunderlying speech recognition and synthesis technologies or ‘speechengines’ to do the work of recognizing and generating human speech. Asmarkup languages, both X+V and SALT provide markup-based programmingenvironments for using speech engines in an application's userinterface. Both languages have language elements, markup tags, thatspecify what the speech-recognition engine should listen for and whatthe synthesis engine should ‘say.’ Whereas X+V combines XHTML, VoiceXML,and the XML Events standard to create multimodal applications, SALT doesnot provide a standard visual markup language or eventing model. Rather,it is a low-level set of tags for specifying voice interaction that canbe embedded into other environments. In addition to X+V and SALT,multimodal applications may be implemented in Java with a Java speechframework, in C++, for example, and with other technologies and in otherenvironments as well.

Current lightweight voice solutions require a developer to build agrammar and lexicon to limit the potential number of words that anautomated speech recognition (‘ASR’) engine must recognize—as a meansfor increasing accuracy. Pervasive devices have limited interaction andinput modalities due to the form factor of the device, and kiosk deviceshave limited interaction and input modalities by design. In both casesthe use of speaker independent voice recognition is implemented toenhance the user experience and interaction with the device. The stateof the art in speaker independent recognition allows for somesophisticated voice applications to be written as long as there is alimited vocabulary associated with each potential voice command. Forexample, if the user is prompted to speak the name of a city the systemcan, with a decent level of confidence, recognize the name of the cityspoken. In the case where there is no explicit context, such as a blanktext field for inputting any search query, this speaker independentrecognition fails because a reasonably sized vocabulary is notavailable.

Incorporating speech into multimodal application, however, naturallyleads users to expect or at least wish that the multimodal applicationwould have some personality. Personality is characterized by dynamism,however, and in the current state of the art, the user interface, pageafter page, voice after voice, is static. In a multimodal web site, forexample, page after page has the same overall layout, color palette,font usage, and so on. In a multimodal web site, page after pagepresents the same speaking voice for prompts and responses, same gender,same age, same accent, and so on.

SUMMARY OF THE INVENTION

Methods, apparatus, and computer program products are described forestablishing a multimodal personality for a multimodal application thatinclude selecting, by the multimodal application, matching vocal andvisual demeanors and incorporating, by the multimodal application, thematching vocal and visual demeanors as a multimodal personality into themultimodal application.

The foregoing and other objects, features and advantages of theinvention will be apparent from the following more particulardescriptions of exemplary embodiments of the invention as illustrated inthe accompanying drawings wherein like reference numbers generallyrepresent like parts of exemplary embodiments of the invention.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 sets forth a network diagram illustrating an exemplary system forestablishing a multimodal personality for a multimodal applicationaccording to embodiments of the present invention.

FIG. 2 sets forth a block diagram of automated computing machinerycomprising an example of a computer useful as a voice server inestablishing a multimodal personality for a multimodal applicationaccording to embodiments of the present invention.

FIG. 3 sets forth a functional block diagram of exemplary apparatus forestablishing a multimodal personality for a multimodal applicationaccording to embodiments of the present invention.

FIG. 4 sets forth a block diagram of automated computing machinerycomprising an example of a computer useful as a multimodal device inestablishing a multimodal personality for a multimodal applicationaccording to embodiments of the present invention.

FIG. 5 sets forth a flow chart illustrating an exemplary method ofestablishing a multimodal personality for a multimodal application (189)according to embodiments of the present invention.

FIG. 6 sets forth a flow chart illustrating a further exemplary methodof establishing a multimodal personality for a multimodal applicationaccording to embodiments of the present invention.

FIG. 7 illustrates a Unified Modeling Language (‘UML’) model of matchingvocal and visual demeanors.

DETAILED DESCRIPTION OF EXEMPLARY EMBODIMENTS

Exemplary methods, apparatus, and products for establishing a multimodalpersonality for a multimodal application according to embodiments of thepresent invention are described with reference to the accompanyingdrawings, beginning with FIG. 1. FIG. 1 sets forth a network diagramillustrating an exemplary system for establishing a multimodalpersonality for a multimodal application according to embodiments of thepresent invention. The system of FIG. 1 operates generally to establisha multimodal personality for a multimodal application according toembodiments of the present invention by selecting, by the multimodalapplication, matching vocal and visual demeanors and incorporating, bythe multimodal application, the matching vocal and visual demeanors as amultimodal personality into the multimodal application.

A multimodal device is an automated device, that is, automated computingmachinery or a computer program running on an automated device, that iscapable of accepting from users more than one mode of input, keyboard,mouse, stylus, and so on, including speech input—and also displayingmore than one mode of output, graphic, speech, and so on. A multimodaldevice is generally capable of accepting speech input from a user,digitizing the speech, and providing digitized speech to a speech enginefor recognition. A multimodal device may be implemented, for example, asa voice-enabled browser on a laptop, a voice browser on a telephonehandset, an online game implemented with Java on a personal computer,and with other combinations of hardware and software as may occur tothose of skill in the art. Because multimodal applications may beimplemented in markup languages (X+V, SALT), object-oriented languages(Java, C++), procedural languages (the C programming language), and inother kinds of computer languages as may occur to those of skill in theart, this specification uses the term ‘multimodal application’ to referto any software application, server-oriented or client-oriented, thinclient or thick client, that administers more than one mode of input andmore than one mode of output, typically including visual and speechmodes.

The system of FIG. 1 includes several example multimodal devices:

-   -   personal computer (107) which is coupled for data communications        to data communications network (100) through wireline connection        (120),    -   personal digital assistant (‘PDA’) (112) which is coupled for        data communications to data communications network (100) through        wireless connection (114),    -   mobile telephone (110) which is coupled for data communications        to data communications network (100) through wireless connection        (116), and    -   laptop computer (126) which is coupled for data communications        to data communications network (100) through wireless connection        (118).

Each of the example multimodal devices (152) in the system of FIG. 1includes a microphone, an audio amplifier, a digital-to-analogconverter, and a multimodal application capable of accepting from a user(128) speech for recognition (315), digitizing the speech, and providingthe digitized speech to a speech engine for recognition. The speech maybe digitized according to industry standard codecs, including but notlimited to those used for Distributed Speech Recognition as such.Methods for ‘COding/DECoding’ speech are referred to as ‘codecs.’ TheEuropean Telecommunications Standards Institute (‘ETSI’) providesseveral codecs for encoding speech for use in DSR, including, forexample, the ETSI ES 201 108 DSR Front-end Codec, the ETSI ES 202 050Advanced DSR Front-end Codec, the ETSI ES 202 211 Extended DSR Front-endCodec, and the ETSI ES 202 212 Extended Advanced DSR Front-end Codec. Instandards such as RFC3557 entitled

-   -   RTP Payload Format for European Telecommunications Standards        Institute (ETSI) European Standard ES 201 108 Distributed Speech        Recognition Encoding        and the Internet Draft entitled    -   RTP Payload Formats for European Telecommunications Standards        Institute (ETSI) European Standard ES 202 050, ES 202 211, and        ES 202 212 Distributed Speech Recognition Encoding,        the IETF provides standard RTP payload formats for various        codecs. It is useful to note, therefore, that there is no        limitation in the present invention regarding codecs, payload        formats, or packet structures. Speech for establishing a        multimodal personality for a multimodal application according to        embodiments of the present invention may be encoded with any        codec, including, for example:    -   AMR (Adaptive Multi-Rate Speech coder)    -   ARDOR (Adaptive Rate-Distortion Optimized sound codeR),    -   Dolby Digital (A/52, AC3),    -   DTS (DTS Coherent Acoustics),    -   MP1 (MPEG audio layer-1),    -   MP2 (MPEG audio layer-2) Layer 2 audio codec (MPEG-1, MPEG-2 and        non-ISO MPEG-2.5),    -   MP3 (MPEG audio layer-3) Layer 3 audio codec (MPEG-1, MPEG-2 and        non-ISO MPEG-2.5),    -   Perceptual Audio Coding,    -   FS-1015 (LPC-10),    -   FS-1016 (CELP),    -   G.726 (ADPCM),    -   G.728 (LD-CELP),    -   G.729 (CS-ACELP),    -   GSM,    -   HILN (MPEG-4 Parametric audio coding), and    -   others as may occur to those of skill in the art.        As mentioned, a multimodal device according to embodiments of        the present invention, is capable of providing speech to a        speech engine for recognition. A speech engine is a functional        module, typically a software module, although it may include        specialized hardware also, that does the work of recognizing and        generating or ‘synthesizing’ human speech. The speech engine        implements speech recognition by use of a further module        referred to in this specification as a ASR engine, and the        speech engine carries out speech synthesis by use of a further        module referred to in this specification as a text-to-speech        (‘TTS’) engine. As shown in FIG. 1, a speech engine (148) may be        installed locally in the multimodal device (107) itself, or a        speech engine (153) may be installed remotely with respect to        the multimodal device, across a data communications network        (100) in a voice server (151). A multimodal device that itself        contains its own speech engine is said to implement a ‘thick        multimodal client’ or ‘thick client,’ because the thick        multimodal client device itself contains all the functionality        needed to carry out speech recognition speech synthesis—through        API calls to speech recognition and speech synthesis modules in        the multimodal device itself with no need to send requests for        speech recognition across a network and no need to receive        synthesized speech across a network from a remote voice server.        A multimodal device that does not contain its own speech engine        is said to implement a ‘thin multimodal client’ or simply a        ‘thin client,’ because the thin multimodal client itself        contains only a relatively thin layer of multimodal device        application software that obtains speech recognition and speech        synthesis services from a voice server located remotely across a        network from the thin client.

Each of the example multimodal devices (152) in the system of FIG. 1 maybe configured to establish a multimodal personality for a multimodalapplication according to embodiments of the present invention byselecting, by the multimodal application (195), matching vocal andvisual demeanors and incorporating, by the multimodal application, thematching vocal and visual demeanors as a multimodal personality into themultimodal application. The multimodal application in a multimodaldevice configured to establish a multimodal personality for a multimodalapplication according to embodiments of the present invention is oftenreferred to in this specification as a ‘multimodal device application’(195). For ease of illustration, only the personal computer (107) in thesystem of FIG. 1 is illustrated with a multimodal device application(195), but all multimodal devices (152) may contain multimodal deviceapplications.

The use of these four example multimodal devices (152) is forexplanation only, not for limitation of the invention. Any automatedcomputing machinery capable of accepting speech from a user, providingthe speech digitized to an ASR engine, and receiving and playing speechprompts and responses from the voice server may be improved to functionas a multimodal device for establishing a multimodal personality for amultimodal application according to embodiments of the presentinvention.

The system of FIG. 1 also includes a voice server (151) which isconnected to data communications network (100) through wirelineconnection (122). The voice server (151) is a computer that runs aspeech engine (153) that provides voice recognition services formultimodal devices by accepting requests for speech recognition andreturning text representing recognized speech. Voice server (151) alsoprovides speech synthesis, text to speech (‘TTS’) conversion, for voiceprompts and voice responses (314) to user input in multimodalapplications such as, for example, X+V applications, SALT applications,or Java voice applications. The voice server (151) in the system of FIG.1 is configured to establish a multimodal personality for a multimodalapplication according to embodiments of the present invention byselecting, by the multimodal application, matching vocal and visualdemeanors and incorporating, by the multimodal application, the matchingvocal and visual demeanors as a multimodal personality into themultimodal application. The multimodal application in a voice serverconfigured to establish a multimodal personality for a multimodalapplication according to embodiments of the present invention is oftenreferred to in this specification as a ‘multimodal server application’(188).

The system of FIG. 1 includes a data communications network (100) thatconnects the multimodal devices (152) and the voice server (151) fordata communications. A data communications network for establishing amultimodal personality for a multimodal application according toembodiments of the present invention is a data communications datacommunications network composed of a plurality of computers thatfunction as data communications routers connected for datacommunications with packet switching protocols. Such a datacommunications network may be implemented with optical connections,wireline connections, or with wireless connections. Such a datacommunications network may include intranets, internets, local area datacommunications networks (‘LANs’), and wide area data communicationsnetworks (‘WANs’). Such a data communications network may implement, forexample:

-   -   a link layer with the Ethernet™ Protocol or the Wireless        Ethernet™ Protocol,    -   a data communications network layer with the Internet Protocol        (‘IP’),    -   a transport layer with the Transmission Control Protocol (‘TCP’)        or the User Datagram Protocol (‘UDP’),    -   an application layer with the HyperText Transfer Protocol        (‘HTTP’), the Session Initiation Protocol (‘SIP’), the Real Time        Protocol (‘RTP’), the Distributed Multimodal Synchronization        Protocol (‘DMSP’), the Wireless Access Protocol (‘WAP’), the        Handheld Device Transfer Protocol (‘HDTP’), the ITU protocol        known as H.323, and    -   other protocols as will occur to those of skill in the art.

The system of FIG. 1 includes a web server (149) connected for datacommunications through wireline connection (123) to network (100) andtherefore to the multimodal devices (152). The web server (149) may beany server that provides to client devices markup documents that composemultimodal applications. The web server (149) typically provides suchmarkup documents via a data communications protocol, HTTP, HDTP, WAP, orthe like. The markup documents themselves may be implemented in anymarkup language that supports speech elements for identifying whichspeech to recognize and which words to speak, grammars, form elements,and the like, including, for example, X+V and SALT. A multimodalapplication in a multimodal device then, upon receiving from the websever (149) a markup document as part of a multimodal application, mayexecute speech elements by use of a speech engine (148) in themultimodal device itself or by use of a speech engine (153) locatedremotely from the multimodal device in a voice server (151).

The arrangement of the voice server (151), the multimodal devices (152),and the data communications network (100) making up the exemplary systemillustrated in FIG. 1 are for explanation, not for limitation. Dataprocessing systems useful for establishing a multimodal personality fora multimodal application according to various embodiments of the presentinvention may include additional servers, routers, other devices, andpeer-to-peer architectures, not shown in FIG. 1, as will occur to thoseof skill in the art. Data communications networks in such dataprocessing systems may support many data communications protocols inaddition to those noted above. Various embodiments of the presentinvention may be implemented on a variety of hardware platforms inaddition to those illustrated in FIG. 1.

Establishing a multimodal personality for a multimodal applicationaccording to embodiments of the present invention in a thin clientarchitecture typically is implemented with one or more voice servers,computers, that is, automated computing machinery, that provide speechrecognition and speech synthesis. For further explanation, therefore,FIG. 2 sets forth a block diagram of automated computing machinerycomprising an example of a computer useful as a voice server (151) inestablishing a multimodal personality for a multimodal applicationaccording to embodiments of the present invention. The voice server(151) of FIG. 2 includes at least one computer processor (156) or ‘CPU’as well as random access memory (168) (‘RAM’) which is connected througha high speed memory bus (166) and bus adapter (158) to processor (156)and to other components of the voice server.

Stored in RAM (168) is a multimodal server application (188), a moduleof computer program instructions capable of operating a voice server ina system that is configured to establish a multimodal personality for amultimodal application according to embodiments of the presentinvention. Multimodal server application (188) provides voicerecognition services for multimodal devices by accepting requests forspeech recognition and returning speech recognition results, includingtext representing recognized speech, text for use as variable values indialogs, and text as string representations of scripts for semanticinterpretation. Multimodal server application (188) also includescomputer program instructions that provide text-to-speech (‘TTS’)conversion for voice prompts and voice responses to user input inmultimodal applications such as, for example, X+V applications or JavaSpeech applications. Multimodal server application (188) in this exampleis also configured to establish a multimodal personality for amultimodal application according to embodiments of the present inventionby selecting matching vocal and visual demeanors (550, 552) andincorporating the matching vocal and visual demeanors as a multimodalpersonality into the multimodal server application (188). The multimodalserver application (188) in this example is configured to statefullymaintain a user profile, session navigation history, and sessioninteraction history. The multimodal server application (188) isconfigured to select matching vocal and visual demeanors by use of theuser profile, the navigation history, and the interaction history. Themultimodal server application (188) can incorporate the matching vocaland visual demeanors as a multimodal personality into the multimodalserver application by linking one or more markup elements of a markupdocument of the multimodal server application to one or more styles of aCascading Style Sheet (‘CSS’) (514) and providing the CSS to arequesting multimodal device application that in turn loads the CSS intoa multimodal device application and uses the CSS to control a multimodaluser interface, the graphic display and the voice aspects of amultimodal user interface. The multimodal device application, located ona multimodal device across a network from the voice server, is theso-called ‘thin client,’ so-called because much of the functionality forestablishing the multimodal personality is implemented on the voiceserver rather than on the multimodal device.

Cascading Style Sheets is a stylesheet language used to describe thepresentation of a document written in a markup language. The commonapplication of CSS is to style web pages written in HTML and XHTML, butthe language can be applied to any kind of XML document, includingScalable Vector Graphics (“SVG”) and XML User Interface Language(“XUL”). The CSS specifications are maintained by the World Wide WebConsortium (“W3C”). CSS can control the vocal display of an X+V page aswell as the visual display. The aural rendering of a document, alreadycommonly used by the blind and print-impaired communities, combinesspeech synthesis and “auditory icons.” Often such aural presentationoccurs by converting the document to plain text and feeding this to ascreen reader—software or hardware that simply reads all the characterson the screen. This results in less effective presentation than would bethe case if the document structure were retained. Style sheet propertiesfor aural presentation may be used together with visual properties(mixed media or multimodal) or as an aural alternative to visualpresentation. When using aural properties, the aural CSS canvas consistsof a three-dimensional physical space (sound surrounds) and a temporalspace (one may specify sounds before, during, and after other sounds).The CSS properties also allow authors to vary the quality of synthesizedspeech (voice type, frequency, inflection, etc.). Here are examples ofvocal rules or styles of an aural CSS:

H1, H2, H3, H4, H5, H6 {  voice-family: paul;  stress: 20;  richness:90;  cue-before: url(“ping.au”) } P.heidi { azimuth: center-left }P.peter { azimuth: right } P.goat { volume: x-soft }

These examples direct a speech synthesizer (TTS engine) to speak headersin a voice (a kind of “audio font”) called “paul,” on a flat tone, butin a very rich voice. Before speaking the headers, a sound sample willbe played from the given URL. Paragraphs with class “heidi” will appearto come from front left (if the sound system is capable of spatialaudio), and paragraphs of class “peter” from the right. Paragraphs withclass “goat” will be rendered very softly.

Multimodal server application (188) in this example is a user-level,multimodal, server-side computer program that may be implemented with aset of VoiceXML documents which taken together comprise a VoiceXMLapplication. Multimodal server application (188) may be implemented as aweb server, implemented in Java, C++, or another language, that supportsX+V, SALT, or another multimodal language, by providing responses toHTTP requests from X+V, SALT or other multimodal clients. Multimodalserver application (188) may, for a further example, be implemented as aJava server that runs on a Java Virtual Machine (102) and supports aJava voice framework by providing responses to HTTP requests from Javaclient applications running on multimodal devices. And multimodal serverapplications that support establishing a multimodal personality for amultimodal application may be implemented in other ways as may occur tothose of skill in the art, and all such ways are well within the scopeof the present invention.

The voice serve in this example includes a speech engine (153). Thespeech engine is a functional module, typically a software module,although it may include specialized hardware also, that does the work ofrecognizing and generating human speech. The speech engine (153)includes an automated speech recognition (‘ASR’) engine for speechrecognition and a text-to-speech (‘TTS’) engine for generating speech.The speech engine also includes a grammar (104), a lexicon (106), and alanguage-specific acoustic model (108). The language-specific acousticmodel (108) is a data structure, a table or database, for example, thatassociates SFVs with phonemes representing, to the extent that it ispractically feasible to do so, all pronunciations of all the words in ahuman language. The lexicon (106) is an association of words in textform with phonemes representing pronunciations of each word; the lexiconeffectively identifies words that are capable of recognition by an ASRengine.

The grammar (104) communicates to the ASR engine (150) the words andsequences of words that currently may be recognized. For preciseunderstanding, distinguish the purpose of the grammar and the purpose ofthe lexicon. The lexicon associates with phonemes all the words that theASR engine can recognize. The grammar communicates the words currentlyeligible for recognition. The set of words currently eligible forrecognition and the set of words capable of recognition may or may notbe the same.

Grammars for use in establishing a multimodal personality for amultimodal application according to embodiments of the present inventionmay be expressed in any format supported by any ASR engine, including,for example, the Java Speech Grammar Format (‘JSGF’), the format of theW3C Speech Recognition Grammar Specification (‘SRGS’), the AugmentedBackus-Naur Format (‘ABNF’) from the IETF's RFC2234, in the form of astochastic grammar as described in the W3C's Stochastic Language Models(N-Gram) Specification, and in other grammar formats as may occur tothose of skill in the art. Grammars typically operate as elements ofdialogs, such as, for example, a VoiceXML <menu> or an X+V<form>. Agrammar's definition may be expressed in-line in a dialog. Or thegrammar may be implemented externally in a separate grammar document andreferenced from with a dialog with a URI. Here is an example of agrammar expressed in JSFG:

<grammar scope=“dialog” ><![CDATA[   #JSGF V1.0;   grammar command;  <command> = [remind me to]   call | phone | telephone <name> <when>;  <name> = bob | martha | joe | pete | chris | john | artoush;   <when>= today | this afternoon | tomorrow | next week;   ]]> </grammar>

In this example, the elements named <command>, <name>, and <when> arerules of the grammar. Rules are a combination of a rulename and anexpansion of a rule that advises an ASR engine which words presently canbe recognized. In this example, expansion includes conjunction anddisjunction, and the vertical bars ‘|’ mean ‘or.’ An ASR engineprocesses the rules in sequence, first <command>, then <name>, then<when>. The <command> rule accepts for recognition ‘call’ or ‘phone’ or‘telephone’ plus, that is, in conjunction with, whatever is returnedfrom the <name> rule and the <when> rule. The <name> rule accepts ‘bob’or ‘martha’ or ‘joe’ or ‘pete’ or ‘chris’ or ‘john’ or ‘artoush’, andthe <when> rule accepts ‘today’ or ‘this afternoon’ or ‘tomorrow’ or‘next week.’ The command grammar as a whole accepts utterances likethese, for example:

-   -   “phone bob next week,”    -   “telephone martha this afternoon,”    -   “remind me to call chris tomorrow,” and    -   “remind me to phone pete today.”

The multimodal server application (188) in this example is configured toreceive, from a multimodal client located remotely across a network fromthe voice server, digitized speech for recognition from a user and passthe speech along to the ASR engine (150) for recognition. ASR engine(150) is a module of computer program instructions, also stored in RAMin this example. In carrying out automated speech recognition, the ASRengine receives speech for recognition in the form of at least onedigitized word and uses frequency components of the digitized word toderive a Speech Feature Vector (‘SFV’). An SFV may be defined, forexample, by the first twelve or thirteen Fourier or frequency domaincomponents of a sample of digitized speech. The ASR engine can use theSFV to infer phonemes for the word from the language-specific acousticmodel (108). The ASR engine then uses the phonemes to find the word inthe lexicon (106).

Also stored in RAM is a VoiceXML interpreter (192), a module of computerprogram instructions that processes VoiceXML grammars. VoiceXML input toVoiceXML interpreter (192) may originate from VoiceXML clients runningremotely on multimodal devices, from X+V clients running remotely onmultimodal devices, or from Java client applications running remotely onmultimedia devices. In this example, VoiceXML interpreter (192)interprets and executes VoiceXML segments received from remotemultimedia clients and provided to VoiceXML interpreter (192) throughmultimodal server application (188). Also stored in RAM (168) is a TextTo Speech (‘TTS’) Engine (194), a module of computer programinstructions that accepts text as input and returns the same text in theform of digitally encoded speech, for use in providing speech as promptsfor and responses to users of multimodal systems.

Also stored in RAM (168) is an operating system (154). Operating systemsuseful in voice servers according to embodiments of the presentinvention include UNIX™, Linux™, Microsoft NT™, AIX™, IBM's i5/OS™, andothers as will occur to those of skill in the art. Operating system(154), multimodal server application (188), VoiceXML interpreter (192),ASR engine (150), JVM (102), and TTS Engine (194) in the example of FIG.2 are shown in RAM (168), but many components of such software typicallyare stored in non-volatile memory also, for example, on a disk drive(170).

Voice server (151) of FIG. 2 includes bus adapter (158), a computerhardware component that contains drive electronics for high speed buses,the front side bus (162), the video bus (164), and the memory bus (166),as well as drive electronics for the slower expansion bus (160).Examples of bus adapters useful in voice servers according toembodiments of the present invention include the Intel Northbridge, theIntel Memory Controller Hub, the Intel Southbridge, and the Intel I/OController Hub. Examples of expansion buses useful in voice serversaccording to embodiments of the present invention include IndustryStandard Architecture (‘ISA’) buses and Peripheral ComponentInterconnect (‘PCI’) buses.

Voice server (151) of FIG. 2 includes disk drive adapter (172) coupledthrough expansion bus (160) and bus adapter (158) to processor (156) andother components of the voice server (151). Disk drive adapter (172)connects non-volatile data storage to the voice server (151) in the formof disk drive (170). Disk drive adapters useful in voice servers includeIntegrated Drive Electronics (‘IDE’) adapters, Small Computer SystemInterface (‘SCSI’) adapters, and others as will occur to those of skillin the art. In addition, non-volatile computer memory may be implementedfor a voice server as an optical disk drive, electrically erasableprogrammable read-only memory (so-called ‘EEPROM’ or ‘Flash’ memory),RAM drives, and so on, as will occur to those of skill in the art.

The example voice server of FIG. 2 includes one or more input/output(‘I/O’) adapters (178). I/O adapters in voice servers implementuser-oriented input/output through, for example, software drivers andcomputer hardware for controlling output to display devices such ascomputer display screens, as well as user input from user input devices(181) such as keyboards and mice. The example voice server of FIG. 2includes a video adapter (209), which is an example of an I/O adapterspecially designed for graphic output to a display device (180) such asa display screen or computer monitor. Video adapter (209) is connectedto processor (156) through a high speed video bus (164), bus adapter(158), and the front side bus (162), which is also a high speed bus.

The exemplary voice server (151) of FIG. 2 includes a communicationsadapter (167) for data communications with other computers (182) and fordata communications with a data communications network (100). Such datacommunications may be carried out serially through RS-232 connections,through external buses such as a Universal Serial Bus (‘USB’), throughdata communications data communications networks such as IP datacommunications networks, and in other ways as will occur to those ofskill in the art. Communications adapters implement the hardware levelof data communications through which one computer sends datacommunications to another computer, directly or through a datacommunications network. Examples of communications adapters useful forestablishing a multimodal personality for a multimodal applicationaccording to embodiments of the present invention include modems forwired dial-up communications, Ethernet (IEEE 802.3) adapters for wireddata communications network communications, and 802.11 adapters forwireless data communications network communications.

For further explanation, FIG. 3 sets forth a functional block diagram ofexemplary apparatus for establishing a multimodal personality for amultimodal application in a thin client architecture according toembodiments of the present invention. The example of FIG. 3 includes amultimodal device (152) and a voice server (151) connected for datacommunication by a VoIP connection (216) through a data communicationsnetwork (100). A multimodal device application (195) runs on themultimodal device (152), and a multimodal server application (188) runson the voice server (151). The multimodal client application (195) maybe a set or sequence of X+V or SALT documents that execute on multimodalbrowser (196), a Java voice application that executes on the JavaVirtual Machine (101), or a multimodal application implemented in othertechnologies as may occur to those of skill in the art. The examplemultimodal device of FIG. 3 also includes a sound card (174), which isan example of an I/O adapter specially designed for accepting analogaudio signals from a microphone (176) and converting the audio analogsignals to digital form for further processing by a codec (183).

In addition to the multimodal sever application (188), the voice server(151) also has installed upon it a speech engine (153) with an ASRengine (150), a grammar (104), a lexicon (106), a language-specificacoustic model (108), and a TTS engine (194), as well as a JVM (102),and a Voice XML interpreter (192). VoiceXML interpreter (192) interpretsand executes VoiceXML grammars received from the multimodal deviceapplication and provided to VoiceXML interpreter (192) throughmultimodal server application (188). VoiceXML input to VoiceXMLinterpreter (192) may originate from the multimodal device application(195) implemented as a VoiceXML client running remotely the multimodaldevice (152), from the multimodal device application (195) implementedas an X+V client running remotely on the multimodal device (152). Asnoted above, the multimedia device application (195) also may beimplemented as a Java client application running remotely on themultimedia device (152), a SALT application running remotely on themultimedia device (152), and in other ways as may occur to those ofskill in the art.

VoIP stands for ‘Voice Over Internet Protocol,’ a generic term forrouting speech over an IP-based data communications network. The speechdata flows over a general-purpose packet-switched data communicationsnetwork, instead of traditional dedicated, circuit-switched voicetransmission lines. Protocols used to carry voice signals over the IPdata communications network are commonly referred to as ‘Voice over IP’or ‘VoIP’ protocols. VoIP traffic may be deployed on any IP datacommunications network, including data communications networks lacking aconnection to the rest of the Internet, for instance on a privatebuilding-wide local area data communications network or ‘LAN.’

Many protocols are used to effect VoIP. The two most popular types ofVoIP are effected with the IETF's Session Initiation Protocol (‘SIP’)and the ITU's protocol known as ‘H.323.’ SIP clients use TCP and UDPport 5060 to connect to SIP servers. SIP itself is used to set up andtear down calls for speech transmission. VoIP with SIP then uses RTP fortransmitting the actual encoded speech. Similarly, H.323 is an umbrellarecommendation from the standards branch of the InternationalTelecommunications Union that defines protocols to provide audio-visualcommunication sessions on any packet data communications network.

The apparatus of FIG. 3 operates in a manner that is similar to theoperation of the system of FIG. 2 described above. Multimodal deviceapplication (195) is a user-level, multimodal, client-side computerprogram presents a voice interface to user (128), provides audio promptsand responses (314) and accepts input speech for recognition (315).Multimodal device application (195) provides a speech interface throughwhich a user may provide oral speech for recognition through microphone(176) and have the speech digitized through an audio amplifier (185) anda coder/decoder (‘codec’) (183) of a sound card (174) and provide thedigitized speech for recognition to ASR engine (150). Multimodal deviceapplication (195) then packages the digitized speech in a recognitionrequest message according to a VoIP protocol, and transmits the speechto voice server (151) through the VoIP connection (216) on the network(100).

Multimodal server application (188) provides voice recognition servicesfor multimodal devices by accepting requests for speech recognition andreturning speech recognition results, including text representingrecognized speech, text for use as variable values in dialogs, and textas string representations of scripts for semantic interpretation.Multimodal server application (188) includes computer programinstructions that provide text-to-speech (‘TTS’) conversion for voiceprompts and voice responses to user input in multimodal applicationssuch as, for example, X+V applications, SALT applications, or JavaSpeech applications.

The multimodal server application (188) receives speech for recognitionfrom a user and passes the speech through API calls to an ASR engine(150) for recognition. The ASR engine receives digitized speech forrecognition, uses frequency components of the digitized speech to derivean SFV, uses the SFV to infer phonemes for the word from thelanguage-specific acoustic model (108), and uses the phonemes to findthe speech in the lexicon (106). The ASR engine then compares speechfounds as words in the lexicon to words in a grammar to determinewhether words or phrases in speech are recognized by the ASR engine.

In addition in this example, in a similar manner as described above,multimodal server application (188) is configured to establish amultimodal personality for a multimodal application according toembodiments of the present invention by selecting matching vocal andvisual demeanors (550, 552) and incorporating the matching vocal andvisual demeanors as a multimodal personality into the overall multimodalapplication represented by the cooperation of the multimodal serverapplication (188) and a multimodal device application (195) running onthe multimodal device (152) located remotely across the network (100)from the voice server (151). The multimodal server application (188) inthis example is configured to statefully maintain a user profile,session navigation history, and session interaction history. Themultimodal server application (188) is configured to select matchingvocal and visual demeanors by use of the user profile, the navigationhistory, and the interaction history. The multimodal server application(188) can incorporate the matching vocal and visual demeanors as amultimodal personality into the multimodal server application by linkingone or more markup elements of a markup document of the multimodalserver application to one or more styles of a Cascading Style Sheet(‘CSS’) (514) and providing the CSS to a requesting multimodal deviceapplication that in turn loads the CSS into a multimodal deviceapplication and uses the CSS to control a multimodal user interface, thegraphic display and the voice aspects of a multimodal user interface. Asmentioned above, the multimodal device application (195), located on themultimodal device (152) across the network (100) from the voice server(151), is the so-called ‘thin client,’ so-called because much of thefunctionality for establishing the multimodal personality is implementedon the voice server rather than on the multimodal device.

Establishing a multimodal personality for a multimodal applicationaccording to embodiments of the present invention in thick clientarchitectures is generally implemented with multimodal devices, that is,automated computing machinery or computers. In the system of FIG. 1, forexample, all the multimodal devices (152) are implemented to some extentat least as computers. For further explanation, therefore, FIG. 4 setsforth a block diagram of automated computing machinery comprising anexample of a computer useful as a multimodal device (152) inestablishing a multimodal personality for a multimodal applicationaccording to embodiments of the present invention. In apparatusimplementing thick multimodal clients as illustrated in FIG. 4, there isonly a multimodal device (152), no network, no VoIP connection, and novoice server containing a remote speech engine. All the componentsneeded for establishing a multimodal personality for a multimodalapplication according to embodiments of the present invention areinstalled or embedded in the multimodal device itself.

The example multimodal device (152) of FIG. 4 includes severalcomponents that are structured and operate similarly as do parallelcomponents of the voice server, having the same drawing referencenumbers, as described above with reference to FIG. 2: at least onecomputer processor (156), frontside bus (162), RAM (168), high speedmemory bus (166), bus adapter (158), video adapter (209), video bus(164), expansion bus (160), communications adapter (167), I/O adapter(178), disk drive adapter (172), an operating system (154), a JVM (102),a VoiceXML Interpreter (192), and so on, including a speech engine(153). As in the system of FIG. 4, the speech engine in the multimodaldevice of FIG. 2 includes an ASR engine (150), a grammar (104), alexicon (106), a language-dependent acoustic model (108), and a TTSengine (194). The speech engine (153) in this kind of embodiment oftenis implemented as an embedded module in a small form factor device suchas a handheld device, a mobile phone, PDA, and the like. An example ofan embedded speech engine useful for establishing a multimodalpersonality for a multimodal application according to embodiments of thepresent invention is IBM's Embedded ViaVoice Enterprise. The examplemultimodal device of FIG. 4 also includes a sound card (174), which isan example of an I/O adapter specially designed for accepting analogaudio signals from a microphone (176) and converting the audio analogsignals to digital form for further processing by a codec (183). Thesound card (174) is connected to processor (156) through expansion bus(160), bus adapter (158), and front side bus (162).

Also stored in RAM (168) in this example is a multimodal deviceapplication (195), a module of computer program instructions capable ofoperating a multimodal device as an apparatus that supports establishinga multimodal personality for a multimodal application according toembodiments of the present invention. The multimodal device application(195) implements speech recognition by accepting speech for recognitionfrom a user and sending the speech for recognition through API calls tothe ASR engine (150). The multimodal device application (195) implementsgenerally by sending words to be used as prompts for a user to the TTSengine (194). As an example of thick client architecture, the multimodaldevice application (195) in this example does not send speech forrecognition across a network to a voice server for recognition, and themultimodal device application (195) in this example does not receivesynthesized speech, TTS prompts and responses, across a network from avoice server. All grammar processing, voice recognition, and text tospeech conversion in this example is performed in an embedded fashion inthe multimodal device (152) itself.

More particularly, multimodal device application (195) in this exampleis a user-level, multimodal, client-side computer program that providesa speech interface through which a user may provide oral speech forrecognition through microphone (176), have the speech digitized throughan audio amplifier (185) and a coder/decoder (‘codec’) (183) of a soundcard (174) and provide the digitized speech for recognition to ASRengine (150). The multimodal device application (195) may be implementedas a set or sequence of X+V documents executing in a multimodal browser(196) or microbrowser that passes VoiceXML grammars and digitized speechthrough API calls directly to an embedded VoiceXML interpreter (192) forprocessing. The embedded VoiceXML interpreter (192) may in turn issuerequests for speech recognition through API calls directly to theembedded ASR engine (150). Multimodal device application (195) also canprovide speech synthesis, TTS conversion, by API calls to the embeddedTTS engine (194) for voice prompts and voice responses to user input.

In a further class of exemplary embodiments, the multimodal deviceapplication (195) may be implemented as a Java voice application thatexecutes on Java Virtual Machine (102) and calls the ASR engine (150)and the TTS engine (194) directly through APIs for speech recognitionand speech synthesis services. In further exemplary embodiments, themultimodal device application (195) may be implemented as a set orsequence of SALT documents executed on a multimodal browser (196) ormicrobrowser that calls the ASR engine (150) and the TTS engine (194)through APIs for speech recognition and speech synthesis services. Inaddition to X+V, SALT, and Java implementations, multimodal deviceapplication (195) may be implemented in other technologies as will occurto those of skill in the art, and all such implementations are wellwithin the scope of the present invention.

Multimodal device application (195) in this example is configured toestablish a multimodal personality for a multimodal applicationaccording to embodiments of the present invention by selecting matchingvocal and visual demeanors (550, 552) and incorporating the matchingvocal and visual demeanors as a multimodal personality into themultimodal device application (195). The multimodal device application(195) in this example is configured to statefully maintain a userprofile, session navigation history, and session interaction history.The multimodal device application (195) is configured to select matchingvocal and visual demeanors (550, 552) by use of the user profile, thenavigation history, and the interaction history. The multimodal deviceapplication (195) can incorporate the matching vocal and visualdemeanors as a multimodal personality into the multimodal serverapplication by linking one or more markup elements of a markup documentof the multimodal server application to one or more styles of aCascading Style Sheet (‘CSS’) (514), loading the CSS into the multimodaldevice application (195), and using the CSS to control a multimodal userinterface, the graphic display and the voice aspects of a multimodaluser interface. The multimodal device application in this example,running on a stand-alone multimodal device with no network, no VoIPconnection, and no voice server containing a remote speech engine and aremote multimodal server application, is the so-called ‘thick client,’so-called because all of the functionality for establishing themultimodal personality is implemented on the multimodal device itself.

For further explanation, FIG. 5 sets forth a flow chart illustrating anexemplary method of establishing a multimodal personality for amultimodal application (189) according to embodiments of the presentinvention. The multimodal application may be implemented as describedabove with a thin client architecture in which part of the multimodalapplication functionality is implemented in a multimodal deviceapplication on a multimodal device and part of the multimodalapplication functionality is implemented in a multimodal serverapplication in a voice server; or the multimodal application may beimplemented in a thick client architecture in which all of themultimodal application functionality is implemented in a multimodalclient application on a multimodal device.

The method of FIG. 5 includes selecting (502), by the multimodalapplication, matching vocal (550) and visual demeanors (552). Thecombination of a visual demeanor and a matching vocal demeanor are takenin this specification as a ‘multimodal personality.’ Visual demeanor isthe overall visual appearance of a multimodal application, backgroundcolors, text colors, text fonts, selection and placement of graphicelements, and so on. Visual demeanor is characterized by attributes suchas age (vibrant colors for young users, quieter colors for matureusers), gender (sans serif fonts for women, serifs for men), location(Eiffel Tower background for Parisians, the Alamo for Texans), time(bright color palettes in the morning, quieter palettes in the evening),application domain (more text for legal subjects, more graphics forarchitectural subjects), and so on. Vocal demeanor is the overallappearance of the voice used to provide speech prompts and responsesfrom a multimodal application to a user. Vocal demeanor also may becharacterized by attributes such as age, gender, location (regionalaccent), time of day (businesslike during working hours, relaxed in theevening), application domain (businesslike for a voice representing aprofessional office, relaxed for a voice representing a spa), and so on,for any characterization of a demeanor as may occur to those of skill inthe art. Vocal and visual demeanors may be inferred from predefineddemeanors stored in a table, database records, or other form of computermemory. Or demeanors may be calculated at run time based on interactionhistory, navigation history, and user profile. A visual demeanor and avocal demeanor are ‘matched’ by a multimodal application according toembodiments of the present invention when each is characterized bysimilar attributes of age, gender, location, time, application domain,and so on. The match is required to be merely ‘similar,’ not exact.‘Similar’ means identical within some predefined margin of error. Afailure to calculate or infer from storage matching demeanors in typicalembodiments typically results in a multimodal application's use ofdefault demeanors to formulate its multimodal personality.

In the method of FIG. 5, selecting (502) matching vocal and visualdemeanors (550, 552) may include selecting (504) a visual demeanor (552)in dependence upon a history (520) of multimodal interactions betweenthe multimodal application and a user. The multimodal application may,for example, track a history of word choices from speech input or fromother modes of input such as mouseclicks or keyboard an associate theword choices in the history with display color choices, text fonts,voice gender, voice age, and so on. Alternatively, the multimodal maytrack a history of direct selections of demeanor elements by a user inresponse to prompts from the application to make selections—of colorchoices, fonts, voice gender, voice accent, and so on.

In the method of FIG. 5, selecting (502) matching vocal and visualdemeanors (550, 552) may include selecting (506) a vocal demeanor independence upon visual properties (524) of a history (522) of a user'snavigation among web sites. The multimodal application may, for example,track navigation history as a series of URLs and retrieve the series ofURLs for analysis. The history may include cached copies of actualmultimodal web pages previously visited, and analysis for selectingmatching vocal and visual demeanors may include examining both the URLs,the pages identified by the URLs, and/or the cached pages to map visualproperties to a demeanor. Visual properties may include, for example,fonts, counts of words on pages, background colors, text colors, graphicimage colors, formatting aspects such as proportions of white space,ratio of graphic images to screen area, ratio of text space to graphicspace or to screen size, and so on.

In the method of FIG. 5, selecting (502) matching vocal and visualdemeanors (550, 552) may include selecting (508) a visual demeanor (552)in dependence upon vocal aspects (526) of a history (522) of a user'snavigation among multimodal web sites. The multimodal application may,for example, track navigation history as a series of URLs and retrievethe series of URLs for analysis. The history may include cached copiesof actual multimodal web pages previously visited, and analysis forselecting matching vocal and visual demeanors may include examining boththe URLs, the pages identified by the URLs, and/or the cached pages tomap vocal properties to a demeanor. Such vocal aspects may include, forexample:

-   -   the number of grammars per page,    -   the number of dialogs per page,    -   dialog intensity, that is, the number of words in a grammar of a        dialog, for which a multimodal application may select a faster        demeanor or personality when there are many words in grammars        and a slower demeanor when the grammars have fewer words, or    -   the number of speech inputs per page, tracked with the number of        no-match results, mapped to a demeanor based on the ratio,        slower for few speech input, faster for many speech inputs per        page.

For further explanation, FIG. 6 sets forth a flow chart illustrating afurther exemplary method of establishing a multimodal personality for amultimodal application according to embodiments of the presentinvention. The method of FIG. 6 is similar to the method of FIG. 5,including selecting (502) matching vocal and visual demeanors,incorporating (510) the matching visual and vocal demeanors as amultimodal personality into the multimodal application, and so on, allof which operates as described above with reference to FIG. 5. The flowchart of FIG. 6 illustrates an example in which selecting (502) matchingvocal and visual demeanors includes retrieving (528) a user profile(536) from storage, selecting (532) a vocal demeanor (540) in dependenceupon the retrieved user profile (530), and selecting (534) a visualdemeanor (542) in dependence upon the retrieved user profile (530). Auser profile is an aggregation of data elements whose values describe auser, name, address, logon ID, password, age, gender, demographics,occupation, income, and so on. A user profile can also includesystem-related properties affecting demeanors, whether the user prefersclass Windows or Windows NT, whether user prefers black and white tocolor, language preference, preferred color palettes, preferred voicefor speech prompts and speech responses, and so on. The user may enterthese and other properties through an administration screen or inresponse to logon prompts or data entry prompts for stateful maintenanceby the multimodal application on the client device across logons andacross interactions with the multimodal application. In a thin clientarchitecture, the user profile data may be maintained statefully by useof cookies on a multimodal client device or by use of files or databasetables on a voice server.

The multimodal application may carry out selecting (502) matching vocaland visual demeanors by prompting a user for a logon ID at the beginningof execution of the multimodal application and then retrieving (528) auser profile (536) from storage by use of the logon ID, that is, from astore (536) of previously defined user profiles each of the whichincludes a logon ID uniquely identifying a particular user. Themultimodal application may then select (532) a vocal demeanor (540) independence upon the retrieved user profile (530), either by retrieving avocal demeanor from a previously constructed store (540) of vocaldemeanors or by constructing the vocal demeanor at run time based onproperties of the user derived from the retrieved user profile (530),name, age, gender, demographics, preferences, and so on. The multimodalapplication may then also select (534) a visual demeanor (542) independence upon the retrieved user profile (530), again, by selecting avisual demeanor from a previously constructed store (542) of visualdemeanors or by constructing a visual demeanor at run time usingproperties of the retrieved user profile (530).

Again with reference to FIG. 5: The method of FIG. 5 also includesincorporating (510), by the multimodal application, the matching vocaland visual demeanors (550, 552) as a multimodal personality into themultimodal application. In the method of FIG. 5, incorporating (510) thematching vocal and visual demeanors (550, 552) as a multimodalpersonality into the multimodal application includes linking (512) oneor more markup elements (556) of a markup document (554) of themultimodal application (189) to one or more styles (518) of a CascadingStyle Sheet (‘CSS’) (514). The multimodal application can link (512) oneor more markup elements (556) of a markup document (554) of themultimodal application (189) to one or more styles (518) of a CSS (514)as shown in the following example X+V page:

<html xmlns=“http://www.w3.org/1999/xhtml” xmlns:vxml=“http://www.w3.org/2001/vxml” xmlns:ev=“http://www.w3.org/2001/xml-events” > <head>  <linkrel=“stylesheet” type=“text/css”  href=“http://www.ibm.com/style/demeanor.jsp” />  <title>What would youlike to drink?</title>  <vxml:form id=“drinkform”>   <vxml:fieldname=“drink”>    <vxml:prompt src=“#p1”>    </vxml:prompt>   <vxml:grammar><![CDATA[     #JSGF V1.0;     grammar drinks;    public <drinks> = coffee | tea | milk | nothing;]]>   </vxml:grammar>    <vxml:filled>     <vxml:assignname=“document.fid.in1.value”     expr=“drink”/>    </vxml:filled>  </vxml:field>  <vxml:block>  Your <vxml:value expr=“drink”/> is comingright up!  </vxml:block>  </vxml:form> </head> <body bgcolor=“#FFFFFF”> <h2 id=“p1” class=“server”>Would you like coffee, tea, milk, or nothing?</h2>  <form name=“fid” action=“ctmn0-style.mxml”>   <table>   <tbody>     <tr><td>Breakfast Drink:</td>      <td>       <inputtype=“text” name=“in1”       ev:event=“focus”      ev:handler=“#drinkform”/>      </td>     </tr>    </tbody>  </table>  </form> </body> </html>

In this example X+V page, a VoiceXML form identified as “drinkform”voice enables an XHTML input form named “fid.” The table data fieldnamed “in1” registers “drinkform” as an event handler for “focus” eventsin the field; that is, when field “in1” gains focus, the multimodalapplication calls “drinkform” to administer vocal input to field “in1.”By use of the <drinks> grammar:

<drinks> = coffee | tea | milk | nothing;“drinkform” can recognize the words “coffee,” “tea,” “milk,” or“nothing” as vocal input to field “in1.”

This example X+V page shows a link, defined as a <link> element, to anexternal CSS identified by the URL“http://www.ibmcom/style/demeanor.isp”:

<link rel=“stylesheet” type=“text/css”  href=“http://www.ibm.com/style/demeanor.jsp” />

This example X+V page defines a multimodal speech dialog as a VoiceXML<vxml:form> element with id=“drinkform.” The <vxml:form> elementincludes a prompt <vxml:prompt src=“#p1”> that refers to an <h2> headingelement:

<h2 id=“p1” class=“server”>Would you like coffee, tea, milk, ornothing?</h2>identified as id=“p1.” The <h2> heading element is controlled by a classattribute, class=“server,” that identifies the style to be returned fromthe reference to the external CSS, “demeanor.jsp.” The value of thestyle returned in this example is:

h2.server {voice-family: female} h3 {voice-family: male}signifying that the spoken prompt for the <h2> heading is to be renderedin a female voice, and any prompts for <h3> headings are to be renderedin a male voice. Specific demeanor attributes may be implemented assession attributes, or as attributes that persist across sessions in apersistent user profile. Session-specific attributes may be passed as acookie in the header of an HTTP request for the CSS. Analogous schemesas may occur to those of skill in the art can be constructed for thegeneration of grammars and the vocabulary used in prompts.

The fact that the referenced CSS is named “demeanor.jsp” indicates thatthe external CSS is returned from the computation of a Java Server Page.This effectively makes the referenced external CSS a variable. Themultimodal application, through its operating environment, a browser ora JVM, can select and return a CSS whose styles effect the selectedmatching vocal and visual demeanors. The matching vocal and visualdemeanors can be selected on the basis of user profiles, interactionhistory, and navigation history, and so on, as described in more detailabove. A CSS can be selected from among many, hundreds or thousands,according to the characteristics of the matching demeanors, age, gender,location, application domain, and so on. Returning a selected CSS,loading it into the multimodal application, and using it to govern thepresentation of the user interface, graphic and speech aspects inparticular, is an example of an effective way of incorporating into themultimodal application matching vocal and visual demeanors as amultimodal personality.

For further explanation, FIG. 7 illustrates a Unified Modeling Language(‘UML’) model of matching vocal and visual demeanors. The UML model ofFIG. 7 illustrates relationships among system components that computedemeanors (540, 542) and generate a Cascading Style Sheet (‘CSS’) (514)used to control the voice and graphic display for a specific prompt inoperation of a user interface of a multimodal application. The UML modelshows matching vocal and visual demeanors (540, 542) selected on thebasis of interaction history (520), navigation history (522), and userprofiles (536). The demeanors in turn form the basis for selection of aCSS (514) that provides a style (546) for a prompt (544) governing howthe prompt is presented in its graphic aspects (550) and as a voice(548). As shown in the UML, a style (546), in an object oriented sense,can be instantiated from many style classes—so that the results returnedfor a demeanor can contain more than one prompt class. Similarly, areturned CSS can be an instance instantiated from any one of hundreds orthousands of CSS classes.

In view of the explanations set forth above in this paper, readers willrecognize that establishing a multimodal personality for a multimodalapplication according to embodiments of the present invention providesthe following benefits:

-   -   Provides the technical tools to enable developers to provide        personalities for multimodal applications that dynamically adapt        to the characteristics of a particular user—including        demographic, locale, and system-related preferences of the user.    -   Provides tools to enable developers to provide personalities for        multimodal applications that dynamically adapt to the way that a        particular user uses the application—by analysis of navigation        history.    -   Provides tools to enable developers to provide personalities for        multimodal applications that dynamically adapt to the way that a        particular user uses the application—by analysis of interaction        history.

Exemplary embodiments of the present invention are described largely inthe context of a fully functional computer system for establishing amultimodal personality for a multimodal application. Readers of skill inthe art will recognize, however, that the present invention also may beembodied in a computer program product disposed on signal bearing mediafor use with any suitable data processing system. Such signal bearingmedia may be transmission media or recordable media for machine-readableinformation, including magnetic media, optical media, or other suitablemedia. Examples of recordable media include magnetic disks in harddrives or diskettes, compact disks for optical drives, magnetic tape,and others as will occur to those of skill in the art. Examples oftransmission media include telephone data communications networks forvoice communications and digital data communications data communicationsnetworks such as, for example, Ethernets™ and data communicationsnetworks that communicate with the Internet Protocol and the World WideWeb. Persons skilled in the art will immediately recognize that anycomputer system having suitable programming means will be capable ofexecuting the steps of the method of the invention as embodied in aprogram product. Persons skilled in the art will recognize immediatelythat, although some of the exemplary embodiments described in thisspecification are oriented to software installed and executing oncomputer hardware, nevertheless, alternative embodiments implemented asfirmware or as hardware are well within the scope of the presentinvention.

It will be understood from the foregoing description that modificationsand changes may be made in various embodiments of the present inventionwithout departing from its true spirit. The descriptions in thisspecification are for purposes of illustration only and are not to beconstrued in a limiting sense. The scope of the present invention islimited only by the language of the following claims.

1. A method of establishing a multimodal personality for a multimodalapplication, the method comprising: selecting, by the multimodalapplication, matching vocal and visual demeanors; and incorporating, bythe multimodal application, the matching vocal and visual demeanors as amultimodal personality into the multimodal application.
 2. The method ofclaim 1 wherein incorporating the matching vocal and visual demeanors asa multimodal personality into the multimodal application furthercomprises linking one or more markup elements of a markup document ofthe multimodal application to one or more styles of a cascading stylesheet.
 3. The method of claim 1 wherein selecting matching vocal andvisual demeanors further comprises selecting a visual demeanor independence upon a history of multimodal interactions between themultimodal application and a user.
 4. The method of claim 1 whereinselecting matching vocal and visual demeanors further comprisesselecting a vocal demeanor in dependence upon visual properties of ahistory of a user's navigation among web sites.
 5. The method of claim 1wherein selecting matching vocal and visual demeanors further comprisesselecting a visual demeanor in dependence upon vocal aspects of ahistory of a user's navigation among multimodal web sites.
 6. The methodof claim 1 wherein selecting matching vocal and visual demeanors furthercomprises retrieving a user profile from storage; selecting a vocaldemeanor in dependence upon the retrieved user profile; and selecting avisual demeanor in dependence upon the retrieved user profile. 7.Apparatus for establishing a multimodal personality for a multimodalapplication, the apparatus comprising a computer processor and acomputer memory operatively coupled to the computer processor, thecomputer memory having disposed within it computer program instructionscapable of: selecting, by the multimodal application, matching vocal andvisual demeanors; and incorporating, by the multimodal application, thematching vocal and visual demeanors as a multimodal personality into themultimodal application.
 8. The apparatus of claim 7 whereinincorporating the matching vocal and visual demeanors as a multimodalpersonality into the multimodal application further comprises linkingone or more markup elements of a markup document of the multimodalapplication to one or more styles of a cascading style sheet.
 9. Theapparatus of claim 7 wherein selecting matching vocal and visualdemeanors further comprises selecting a visual demeanor in dependenceupon a history of multimodal interactions between the multimodalapplication and a user.
 10. The apparatus of claim 7 wherein selectingmatching vocal and visual demeanors further comprises selecting a vocaldemeanor in dependence upon visual properties of a history of a user'snavigation among web sites.
 11. The apparatus of claim 7 whereinselecting matching vocal and visual demeanors further comprisesselecting a visual demeanor in dependence upon vocal aspects of ahistory of a user's navigation among multimodal web sites.
 12. Theapparatus of claim 7 wherein selecting matching vocal and visualdemeanors further comprises retrieving a user profile from storage;selecting a vocal demeanor in dependence upon the retrieved userprofile; and selecting a visual demeanor in dependence upon theretrieved user profile.
 13. A computer program product for establishinga multimodal personality for a multimodal application, the computerprogram product disposed upon a signal bearing medium, the computerprogram product comprising computer program instructions capable of:selecting, by the multimodal application, matching vocal and visualdemeanors; and incorporating, by the multimodal application, thematching vocal and visual demeanors as a multimodal personality into themultimodal application.
 14. The computer program product of claim 13wherein the signal bearing medium comprises a recordable medium.
 15. Thecomputer program product of claim 13 wherein the signal bearing mediumcomprises a transmission medium.
 16. The computer program product ofclaim 13 wherein incorporating the matching vocal and visual demeanorsas a multimodal personality into the multimodal application furthercomprises linking one or more markup elements of a markup document ofthe multimodal application to one or more styles of a cascading stylesheet.
 17. The computer program product of claim 13 wherein selectingmatching vocal and visual demeanors further comprises selecting a visualdemeanor in dependence upon a history of multimodal interactions betweenthe multimodal application and a user.
 18. The computer program productof claim 13 wherein selecting matching vocal and visual demeanorsfurther comprises selecting a vocal demeanor in dependence upon visualproperties of a history of a user's navigation among web sites.
 19. Thecomputer program product of claim 13 wherein selecting matching vocaland visual demeanors further comprises selecting a visual demeanor independence upon vocal aspects of a history of a user's navigation amongmultimodal web sites.
 20. The computer program product of claim 13wherein selecting matching vocal and visual demeanors further comprisesretrieving a user profile from storage; selecting a vocal demeanor independence upon the retrieved user profile; and selecting a visualdemeanor in dependence upon the retrieved user profile.